AI Infrastructure Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018 - 2028

  • Single User License $5795

AI Infrastructure Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018 - 2028

Status : June, 2020 | Semiconductor & Electronics | PPT format

Report Digest


AI Infrastructure Market: Introduction

The key factors fueling the AI infrastructure market incorporate expanding popularity of cloud AI stage, heightening demand regarding AI equipment in high-performance computing data centers, increasing focus on parallel processing in AI data centers, developing volume of information created in enterprises, for example, healthcare and automobiles, reduced hardware cost, improved computing power, developing number of cross-industry associations and joint efforts, and growing AI applications in ventures, for example, finance, automobiles, healthcare, and tourism.

AI Infrastructure Market: Novel Developments

  • IBM, in February, 2019, released a new product of IoT solutions which group advanced analytics and AI to help asset-intensive associations, for example, the Metropolitan Atlanta Rapid Transit Authority (MARTA), to improve support systems. The solution is intended to assist associations with lowering expenses and diminish the failure risk from physical resources, for example, manufacturing robots, vehicles, turbines, elevators, mining hardware, and electrical transformers.
  • HOSTKEY (Moscow) and AMD, a hardware renting and solid cloud solution supplier, in April, 2019, declared the arrival of AMD EPYC processor-based servers over HOSTKEY's infrastructure. The sending of AMD EPYC CPUs provides distinct features, for example, connectivity, core-count, and memory bandwidth, to HOSTKEY clients running carrying environment and high-end computing workloads.
  • Xilinx, in October 2018, came up with Alveo, a solution of powerful accelerators cards intended to significantly build performance as per industry-standard servers crosswise over on-premise and cloud data centers. With Alveo, clients can expect improvement in performance at low inertness when running basic data center applications, for example, continuous AI derivation, video handling, genomics, and information investigation.
  • Micron Technology, in March 2019, released product of Micron 2200 PCIe NVMe SSDs. These drives are accessible in limits going from 256 GB to 1 TB in a M.2 22x80 mm structure factor. This SSDs portfolio carries expanded data transfer capacity and diminished inactivity to customer processing in the AI infrastructure market by tending to developing needs crosswise over unique gear producers (OEMs) and different customers.

Some of the most prominent competitors operating in the competitive landscape of AI infrastructure market include –

  • NVIDIA Corporation (US)
  • Intel Corporation (US)
  • IBM (US)
  • Google (US)
  • Samsung Electronics (South Korea)
  • Microsoft (US)
  • Amazon Web Services (US)
  • Micron Technology (US)
  • CISCO (US)
  • ARM (UK)
  • Habana Labs (Israel)
  • Oracle (US)
  • Xilinx (US)
  • Dell (US)
  • Advanced Micro Devices (AMD) (US)
  • HPE (US)
  • Synopsys Inc. (US)

Artificial intelligence Infrastructure Market Dynamics

Increasing prevalence of Deep Learning to Fortify AI Infrastructure Market Demand

Deep learning innovation empowers a machine to manufacture a progressive portrayal. For example, the principal layer of the caught picture could examine for basic edges, trailed by a layer that gathers edge-framing shapes, (for example, square shape or circle). The last layer could distinguish machine parts. In the wake of examining various layers to distinguish the required information, the neural system can gather the highlights into a calculation that can perceive the general picture. The developing popularity of robots, cybersecurity applications, IoT, industrial mechanization, and machine vision innovation has made an enormous volume of information. This information fills in as a training module in deep learning innovation, which aides in diagnosis process and testing.

Artificial Intelligence Infrastructure Market: Geographical Analysis

At present, North America represents the biggest share of the global AI infrastructure market, and a comparative pattern is probably going to proceed in future. Canada and the US are relied upon to embrace AI-based servers at a high rate. These nations are industrially developed created economies in North America in view of their solid spotlight on putting resources into R&D exercises for the advancement of new advances. The North America AI infrastructure market is additionally sectioned into Canada, the US, and Mexico.

The study presents a granular assessment and quantitative evaluation of:

  • Key growth factors and prominent trends
  • Size and share of key segments in overall market
  • Key challenges and winning imperatives
  • Factors shaping competitive landscape
  • Insights into how contours of market will change in coming years
  • Technological advances
  • New avenues and imminent investment pockets
  • Regulatory landscape shaping current and future strategies of companies

The region-wise assessment includes market dynamics in:

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • The Middle East and Africa

The study is prepared with the help of an extensive primary and secondary research. Primary research includes but not limited to interactions, interviews, surveys, and events. Opinions of policy makers and industry experts are carefully integrated into the insights to complement primary research. Volumes of secondary data gleaned through renowned paid sources, annual statements, reputed journals, and government documents offer insights into current dynamics and key evolution trajectories the market is likely to assume. The research employs various industry-wide analytics methods and well-established methodologies to ascertain the attractiveness of key segments. Further, it evaluates the lucrativeness of key regions and factors underlying their maturity. The insights notably include a detailed analysis of forces behind vendor differentiation and offers insight into investment-decision making by prominent players.

The report strives to enlighten businesses and industry stakeholders on multiple facets of the growth dynamic of the market, the key of which include answers to:

  • Which key factors will shape the competitive landscape?
  • Which trends will stimulate research and development activities in different geographies?
  • Which are the lucrative growth areas and what is the size of potential they are likely contribute to the overall market?
  • Which disruptions in market growth are likely to come with the new business models?
  • Which are some of the recent overhauls in policies that may change the course of the market significantly?
  • Which are the geographies that will form sizable sources of new streams to new and established players alike?
  • How are top players likely to realign their strategy to counter the forces of competition?
  • Which key strategies emerging players are likely to focus on to consolidate their position?
  • Which changes in end-user preferences might affect the status quo held by the leading players?
  • Which are some of the game-changing innovations influencing the projected share and revenue of the market and its segments?

Note: Utmost care has invariably been taken to present data and arrive at statistics at all the TMR Research reports. Meanwhile, some recent developments and new industry trends may take time to be included in the reports.